Meeting Title: Zoom Meeting Date: 2025-05-16 Meeting participants: Annie Yu, Robert Tseng
WEBVTT
1 00:00:08.790 ⇒ 00:00:10.140 Annie Yu: Hello, Robert!
2 00:00:10.450 ⇒ 00:00:11.309 Robert Tseng: Hey! Annie!
3 00:00:12.900 ⇒ 00:00:14.319 Annie Yu: How’s it going.
4 00:00:15.470 ⇒ 00:00:16.210 Robert Tseng: Good.
5 00:00:16.410 ⇒ 00:00:23.919 Robert Tseng: Just yeah. I mean trying to. I have some budget follow ups from the from the calls today. So just trying to finish out.
6 00:00:24.170 ⇒ 00:00:25.570 Robert Tseng: That was for the day.
7 00:00:26.840 ⇒ 00:00:28.270 Annie Yu: Sounds good.
8 00:00:29.720 ⇒ 00:00:31.110 Robert Tseng: How was your week?
9 00:00:32.560 ⇒ 00:00:36.580 Annie Yu: Not too bad. I feel like I am. So I’m
10 00:00:37.000 ⇒ 00:00:46.399 Annie Yu: I’m like on freeze on my Duolingo streak for the entire week. I think that that means something.
11 00:00:47.090 ⇒ 00:00:57.569 Annie Yu: But yeah, this week was it was. It was busy, but it was great. I think we have had progress on like multiple different things
12 00:00:58.080 ⇒ 00:01:00.590 Annie Yu: across projects. So that’s cool.
13 00:01:00.590 ⇒ 00:01:02.169 Robert Tseng: Practicing Duolingo for.
14 00:01:03.129 ⇒ 00:01:03.849 Annie Yu: Spanish.
15 00:01:04.489 ⇒ 00:01:05.469 Robert Tseng: Oh, nice!
16 00:01:05.670 ⇒ 00:01:08.030 Annie Yu: Yeah, just because what?
17 00:01:08.440 ⇒ 00:01:10.650 Robert Tseng: Are you traveling to Spain, or anything? Soon.
18 00:01:10.650 ⇒ 00:01:12.898 Annie Yu: Actually traveling to Spain.
19 00:01:13.460 ⇒ 00:01:17.830 Robert Tseng: Oh, is that for your your trip in a month or something?
20 00:01:17.980 ⇒ 00:01:19.033 Annie Yu: Yeah, yeah.
21 00:01:19.560 ⇒ 00:01:19.960 Robert Tseng: Nice.
22 00:01:20.440 ⇒ 00:01:31.650 Annie Yu: Yeah, I took Spanish back in college, but I almost spelled it and I was never conversational. So I started this streak. I think
23 00:01:31.860 ⇒ 00:01:35.720 Annie Yu: it’s it’s like less than 200 days ago.
24 00:01:35.880 ⇒ 00:01:43.221 Annie Yu: But yeah, with the with the goal that I will be at least conversational in Spain.
25 00:01:43.680 ⇒ 00:01:47.699 Robert Tseng: Wow, yeah, I mean, if you’ve been doing it for almost 200 days, that’s that’s commitment.
26 00:01:48.210 ⇒ 00:01:51.521 Annie Yu: Yeah, but you know, like, sometimes you can like
27 00:01:52.880 ⇒ 00:01:56.998 Annie Yu: like wish you. It can be like pretty wishy washy.
28 00:01:57.410 ⇒ 00:01:58.080 Robert Tseng: Yeah.
29 00:01:58.220 ⇒ 00:02:08.502 Annie Yu: And and I even have, like like in an English lesson opened. Just so like on some days, I’m like, Okay, I don’t have time for this.
30 00:02:09.949 ⇒ 00:02:11.366 Robert Tseng: Oh, I see! I see!
31 00:02:13.150 ⇒ 00:02:16.141 Annie Yu: Yeah, that’s cheating alone.
32 00:02:17.000 ⇒ 00:02:25.829 Robert Tseng: Oh, I I like I like that. I I dropped off of my language practice as well. I I’m I I should keep it up as well. That’s what.
33 00:02:25.830 ⇒ 00:02:26.270 Annie Yu: It’s like.
34 00:02:26.270 ⇒ 00:02:27.160 Robert Tseng: That’s a good one.
35 00:02:27.700 ⇒ 00:02:38.230 Annie Yu: Yeah. Yeah. And I think in spam, I’m gonna try to like, see if Kyle have time for for the coffee, because I think I’m going to his city.
36 00:02:38.500 ⇒ 00:02:39.870 Robert Tseng: Oh, yeah. Okay.
37 00:02:40.680 ⇒ 00:02:41.310 Annie Yu: Yeah.
38 00:02:41.310 ⇒ 00:02:42.370 Robert Tseng: Everyone. Barcelona.
39 00:02:42.820 ⇒ 00:02:43.490 Annie Yu: Yeah.
40 00:02:43.600 ⇒ 00:03:00.029 Annie Yu: I’m gonna I’m actually gonna go to Spain the week before. I guess my Pto, so I’m gonna work from home. I’m gonna work from there for a week. And then we book this like Airbnb in like a pretty rural area. I think.
41 00:03:00.270 ⇒ 00:03:05.550 Annie Yu: So. I’m just gonna work there for a week and just chill, and then
42 00:03:06.410 ⇒ 00:03:09.289 Annie Yu: travel to Barcelona to have fun.
43 00:03:09.470 ⇒ 00:03:15.220 Robert Tseng: Nice, nice. Yeah. I will also be doing the remote work from Europe for a week.
44 00:03:15.400 ⇒ 00:03:16.929 Annie Yu: Wait for real.
45 00:03:16.930 ⇒ 00:03:17.480 Robert Tseng: Yeah.
46 00:03:17.480 ⇒ 00:03:19.269 Annie Yu: Going. Wait! That’s.
47 00:03:19.270 ⇒ 00:03:20.100 Robert Tseng: I mean.
48 00:03:20.100 ⇒ 00:03:20.680 Annie Yu: Next week.
49 00:03:20.680 ⇒ 00:03:25.526 Robert Tseng: So yeah, I’m I’m leaving next Friday. I’m going to Nairobi for like a week.
50 00:03:26.140 ⇒ 00:03:44.129 Robert Tseng: I will not be working from there, because I don’t really think that I’ll have reliable Internet in Africa or not all of Africa. But in Kenya and then, after that, on the way, I’m Gonna do extend and do another week in Amsterdam. But I’ll be working from Amsterdam.
51 00:03:44.130 ⇒ 00:03:46.039 Annie Yu: Fun. That’s so fun.
52 00:03:46.360 ⇒ 00:03:50.059 Annie Yu: Wait! Do you have to get any like vaccines?
53 00:03:50.650 ⇒ 00:03:52.105 Robert Tseng: Yeah, I got
54 00:03:53.280 ⇒ 00:03:56.438 Robert Tseng: Yellow fever, I think, and
55 00:03:58.740 ⇒ 00:04:06.320 Robert Tseng: I think that’s it. Then I have. Then we’re then we’re bringing malaria pills, and so we’ll be eating. We’ll be taking those every day while we’re there. But.
56 00:04:06.320 ⇒ 00:04:07.530 Annie Yu: Oh, that’s.
57 00:04:07.530 ⇒ 00:04:08.110 Robert Tseng: Yeah.
58 00:04:08.110 ⇒ 00:04:11.351 Annie Yu: That’s gonna be so interesting.
59 00:04:12.000 ⇒ 00:04:21.390 Robert Tseng: Yeah, yeah, it’ll it’ll be very different from here. So I I mean, I’m excited. I I want to get away from the city and change things up so.
60 00:04:21.560 ⇒ 00:04:24.448 Annie Yu: Yeah. Well, hope you have fun.
61 00:04:24.930 ⇒ 00:04:25.650 Robert Tseng: Thanks.
62 00:04:26.210 ⇒ 00:04:27.660 Annie Yu: Yeah, thank you.
63 00:04:27.840 ⇒ 00:04:33.449 Annie Yu: Yeah, yeah, I, I, yeah, yeah, go ahead.
64 00:04:33.830 ⇒ 00:04:49.980 Robert Tseng: I was. Gonna say, why, I think, you, you wanted to spend this time kind of talking about some of the data science projects and kind of moving that along, so happy to talk about. Anything there, I mean, we I know we’ve moved the ball on on a couple of projects
65 00:04:50.418 ⇒ 00:04:59.019 Robert Tseng: especially around the Ltv stuff. So if you wanted to spend some time talking about that happy to or yeah, if you had anything else. We can talk about that, too.
66 00:04:59.170 ⇒ 00:05:16.899 Annie Yu: I actually do have something else. This is probably more casual. But yesterday got a chance to being a meeting with and brought up like we talk about like Rio for a little bit, and kind of the the
67 00:05:17.120 ⇒ 00:05:34.859 Annie Yu: there’s like a list that he shows to the client like with recommended tools versus like recommended, and I saw like tableau has like an X, and I think I told him, like I’m all for tableau, but I was like
68 00:05:35.790 ⇒ 00:05:53.439 Annie Yu: trying to understand his reason behind it. And I I think at 1 point we were just like, Okay, now, I’m like, really interested in hearing what Robert thinks about, I guess not only tableau, but like all other tools. And and it comes to like if
69 00:05:53.770 ⇒ 00:06:04.529 Annie Yu: if I really want to convince him like tableau is a good tool. I can show him share some good demos or so. But I I think at this point I’m just like
70 00:06:04.760 ⇒ 00:06:10.980 Annie Yu: interesting in like hearing your view as well, because I feel like you’ve been using lots of tools
71 00:06:11.370 ⇒ 00:06:13.140 Annie Yu: in that area, too.
72 00:06:15.230 ⇒ 00:06:20.790 Robert Tseng: Yeah, I I guess. 2 things.
73 00:06:21.270 ⇒ 00:06:37.339 Robert Tseng: We I I guess. Yeah, as far as recommended tools. So I I think it. It really depends on like the stage of the client as well. So I think. I think we had. We had. We started this conversation last week. We were talking about.
74 00:06:37.630 ⇒ 00:07:02.946 Robert Tseng: You know, I think there’s a wide range of tools like, I think, being more from the engineering background very into like the Bi as code that. Obviously, you having more experience with traditional bi tools, more you’re used to doing like the traditional design, the visualization and then build it out with an advanced full function like tool, like tableau. I think that’s why you guys don’t see eye to eye on it.
75 00:07:03.440 ⇒ 00:07:07.249 Robert Tseng: yeah. And I think that totally makes sense. I think
76 00:07:07.990 ⇒ 00:07:10.200 Robert Tseng: I don’t think there is like a
77 00:07:10.680 ⇒ 00:07:22.200 Robert Tseng: when we say recommended tools. I think we’re really just indexing, for, like where I think we have stronger tool partnership. Just frankly speaking, so. Yeah, I mean, I think I
78 00:07:22.200 ⇒ 00:07:45.110 Robert Tseng: I just think about like the amount of maintenance, and just like setup effort it took to get tableau running. It was a massive effort. To really like, get all of the things going. Maybe we could do it faster now. After we did it for Eden once, like before, and previous roles like I had done tableau development. But I wasn’t the one like deploying, and whatever I just like.
79 00:07:45.600 ⇒ 00:08:04.889 Robert Tseng: you know, built stuff left in drafts and like handed it off. And then I had. There was like a whole team that, like whatever like, can’t like that. Did the deployment. So even really, the 1st time, like, I’ve really deployed tableau end to end. And I. I do see now that it was hard to stand up, whereas, like real
80 00:08:05.310 ⇒ 00:08:23.949 Robert Tseng: where any like warehouse native tool was like like Meta base also is pretty fast like it. Just as long as you have the data stored in a data warehouse you can just hook it up to it and then start reporting immediately. So I I think I I also have to say is, I don’t think I have like
81 00:08:24.590 ⇒ 00:08:37.303 Robert Tseng: tool of preference. I think it’s really just the trade offs that you’re willing to make with a client. So if they want something super fast, I wouldn’t recommend tableau if they don’t know exactly what they want, either. I wouldn’t do. Tableau, I think.
82 00:08:38.669 ⇒ 00:08:55.049 Robert Tseng: before you came on, you know, we had Bo and Sahana do tableau development, and just the iteration cycle on tableau is it takes so long like it’s not something you can just jump on a call, and then, like quickly, just like, do some mock ups with with the client on call, so.
83 00:08:56.020 ⇒ 00:08:58.049 Robert Tseng: I think that’s why.
84 00:08:59.004 ⇒ 00:09:18.200 Robert Tseng: Yeah, I think it’s like, How how much do you want to meet the client where they’re at? If they’re going from 0 to one and just get them something quick and easy to look at versus like how I, when when should we like, really push them to like that enterprise quality tool. So my thesis is still that, like
85 00:09:18.500 ⇒ 00:09:43.160 Robert Tseng: most of the companies we work with, you know, they’re hovering at like 10 to 100 million dollars in revenue like they’re not huge companies. Most of them don’t need tableau and like we could start them at something that’s a little. That’s more lightweight, just like figuring out like what the requirements are having a shorter feedback loop on getting them. The the core reports that they need.
86 00:09:43.370 ⇒ 00:10:06.230 Robert Tseng: and I don’t care what that looks like. It could be a mix of Google sheets, like, you know, notebooks, or even if we use like python notebooks to mock some of this stuff up and and if we want to deploy it and like, have something that’s hooked up to real data like something like a Meta base is totally fine for me. And then, once there’s enough of a reason to like, Hey, they’re asking for some more complicated things.
87 00:10:07.255 ⇒ 00:10:12.669 Robert Tseng: We’ve we? Yeah, I mean, I could. I could list off some of those examples.
88 00:10:12.770 ⇒ 00:10:14.610 Robert Tseng: But we we would just
89 00:10:15.240 ⇒ 00:10:28.609 Robert Tseng: make the decision, or we would be like, Hey, everything that you’re moving beyond, like the scope of like this in like basic bi tool. Maybe you should consider going up to like a tableau at this point. So
90 00:10:29.190 ⇒ 00:10:33.729 Robert Tseng: I kind of think that that’s how we should be
91 00:10:34.381 ⇒ 00:10:45.970 Robert Tseng: presenting the options to our clients that like, based on where they’re at. We give them a recommendation, and there’s kind of like a a gradient of like tools that you that you graduate up into
92 00:10:46.412 ⇒ 00:11:02.180 Robert Tseng: and I mean, I don’t want to make that too complicated. I think it’s really just like a a basic in advance, like, I don’t want them to feel like we’re recommending that they switch like 5 different tools over the time of them working with us. But anyway, that’s that’s how I
93 00:11:02.300 ⇒ 00:11:03.819 Robert Tseng: think about that problem.
94 00:11:04.600 ⇒ 00:11:11.759 Annie Yu: Okay, yeah, no. That’s that’s super helpful to know. And I think one thing, yeah, you mentioned like development. I think
95 00:11:12.210 ⇒ 00:11:28.379 Annie Yu: in my career I never really had to deal with like tableau development. I’m just like a user. So that will make sense. And I think one con kind of like, yeah, disadvantage about tableau that Utah mentioned was like
96 00:11:28.940 ⇒ 00:11:35.700 Annie Yu: to have that comparison versus last period. Like in Looker, you can just do it directly. But in.
97 00:11:35.700 ⇒ 00:11:36.070 Robert Tseng: Yeah.
98 00:11:36.070 ⇒ 00:11:40.539 Annie Yu: Or you have to set up everything manually, so that makes sense.
99 00:11:42.050 ⇒ 00:11:44.587 Robert Tseng: Yeah, like, I actually think that.
100 00:11:46.450 ⇒ 00:11:53.070 Robert Tseng: yeah, I know. I mean, our our stack preference is, you know, Snowflake, Dbt to bi tool. And I think
101 00:11:53.380 ⇒ 00:11:54.280 Robert Tseng: that’s
102 00:11:55.160 ⇒ 00:12:07.796 Robert Tseng: I. I guess that’s that’s just like what our background has been and what we’ve set up. But I I don’t think that that’s the best solution for for everybody like I don’t think Dbt is necessary for a lot of clients, but
103 00:12:09.190 ⇒ 00:12:18.289 Robert Tseng: hopefully, with the size of client that we’re working for like they, they want the full stack. I think that’s part of like the sales motion, too.
104 00:12:18.740 ⇒ 00:12:24.660 Robert Tseng: We don’t want to work with smaller clients like full parts anymore. Where that’s an example.
105 00:12:25.281 ⇒ 00:12:32.180 Robert Tseng: consider it like smaller versus to me smaller is less than 10 million and a year in revenue.
106 00:12:32.700 ⇒ 00:12:35.990 Annie Yu: Okay, less than 10 million a year.
107 00:12:38.510 ⇒ 00:12:43.939 Annie Yu: Okay? So we don’t want to work with those like, okay, smaller clients anymore.
108 00:12:44.480 ⇒ 00:12:49.039 Robert Tseng: Yeah, I mean, I think before we were just saying yes to everything. But I think from.
109 00:12:50.800 ⇒ 00:12:59.930 Robert Tseng: yeah, I I think I think that. Yeah, if if they’re the 1010 to 100 million is like a good range, like as from what I’m from what I’m observing.
110 00:13:00.440 ⇒ 00:13:03.940 Robert Tseng: I think the range is is still quite wide. So
111 00:13:04.360 ⇒ 00:13:07.450 Robert Tseng: I would say, for like an Ecom company like.
112 00:13:07.810 ⇒ 00:13:12.709 Robert Tseng: and 10 to 50 million is fine for a Saas company like.
113 00:13:13.250 ⇒ 00:13:22.456 Robert Tseng: yeah, like 50 to 100 million arr is probably more ideal. So like, that’s why the range is so so wide. I think it diff differs, depending on industry.
114 00:13:23.620 ⇒ 00:13:37.149 Robert Tseng: but yeah, like the 2 clients that we just that we that we just signed and they’re starting in a couple of weeks like they’re both 10 million in revenue bus. Like I. I just think that they’re starting off on a better foot and ready for like more a bigger data investment.
115 00:13:37.706 ⇒ 00:13:50.620 Robert Tseng: Compared to like pool parts. You know, they’re less than 5 million a year. And anything that we do to adjust the data model. They’re always like being like, why is this necessary? This is so expensive, and it just like doesn’t really give us
116 00:13:50.980 ⇒ 00:13:55.630 Robert Tseng: like meaningful like, I guess
117 00:13:56.170 ⇒ 00:14:08.400 Robert Tseng: like flexibility to go and and make interesting decisions like other like, there’s no reason for them to. They don’t really need. They don’t really need everything that we set up for them, is my conclusion, like.
118 00:14:09.840 ⇒ 00:14:14.660 Robert Tseng: But anyway, that’s just some context, I think, yeah.
119 00:14:17.080 ⇒ 00:14:18.250 Annie Yu: That makes sense.
120 00:14:20.550 ⇒ 00:14:43.699 Robert Tseng: So I know you have more like enterprise background. And you’re kind of thinking about things more from like full functionality. You don’t want to be limited by the tool you’re using. Workflows are more tried and true. Maybe there’s more community support. So if you need to go look up anything, there’s more resources out there. I think those are all valid from just like a end. User perspective, like having a tableau is is better than real, because real doesn’t have any
121 00:14:43.960 ⇒ 00:14:45.939 Robert Tseng: real real documentation.
122 00:14:46.640 ⇒ 00:14:52.829 Annie Yu: Yeah, yeah, I I think Utam did mention that we have partnership with like Omni. I think it’s like a
123 00:14:54.030 ⇒ 00:14:58.020 Annie Yu: that. That’s definitely something like I’m I will be interested in working with.
124 00:14:58.590 ⇒ 00:14:59.330 Annie Yu: I think that.
125 00:14:59.330 ⇒ 00:15:02.969 Robert Tseng: So that, yeah, that’s like a tool. We want to deploy. Like.
126 00:15:03.230 ⇒ 00:15:09.269 Robert Tseng: I, I think just, you know, just transparently like how this business will succeed is
127 00:15:09.450 ⇒ 00:15:29.070 Robert Tseng: we need to go and work with a rising bi tool, you know, like, I think, if we just have the right partnership, and we’re deploying the right tool that we actually believe in, that works well, and that tool gains market share. They will give us leads, and we will. We will become their go to partner, you know. I think like
128 00:15:29.180 ⇒ 00:15:34.340 Robert Tseng: that’s it’s kind. It’s kind of part of like our bet of like trying to ride like the right wave
129 00:15:34.768 ⇒ 00:15:43.959 Robert Tseng: and so that’s why we’re always evaluating new tools and trying to see like, who do. We strategically want to partner with and be like we’re going to be their go to partner.
130 00:15:45.470 ⇒ 00:15:45.990 Annie Yu: Yeah.
131 00:15:46.318 ⇒ 00:15:56.840 Robert Tseng: For like a tableau. It’s too late, like they’re so big it’ll take us forever. I’m not saying we won’t do it like we are still going through process like I’ve registered.
132 00:15:56.940 ⇒ 00:16:03.810 Robert Tseng: I mean, we are a tableau partner, or whatever, but like we’re not their first.st We’re not going to be the 1st one they go to, because we’re
133 00:16:04.180 ⇒ 00:16:05.750 Robert Tseng: like pretty late to the game. Yeah.
134 00:16:07.420 ⇒ 00:16:10.960 Annie Yu: No, I think that makes sense. Think of it. That way.
135 00:16:11.670 ⇒ 00:16:38.909 Robert Tseng: Yeah. So I mean, like, I think it’s good to have your perspective on, like what’s limiting. And you should definitely have a say on what you think like a good tool is, I think my, my take on like it’s like Utah is only ever set up infrastructure. And then he’s not the end user. And so, like, there’s a disconnect. Whereas, like, I’ve not really been on the infrastructure side, like, if you see the work that we were doing like in other with other clients like, I’m definitely more, maybe closer to your like. Where do you sit in the stack
136 00:16:39.030 ⇒ 00:16:44.140 Robert Tseng: like kind of an analysis, and then like insights, I guess so.
137 00:16:44.488 ⇒ 00:17:05.480 Robert Tseng: Anything that I needed. I just wanted the data set, and I would do it myself in python or like whatever. And then I would build decks and like I would make those recommendations like, that’s that’s my, that’s my background. And so I think that it’s fine, for you know us to not all have the same perspective. I think there are certain ideals that
138 00:17:05.500 ⇒ 00:17:21.250 Robert Tseng: who Dom has that like may not be like what the end user actually cares about. And I think that’s just his engineer brain thinking about things from like, what’s easier to spend spin up for the team like, how do we scale it? Use it better across all of our clients and stuff like that.
139 00:17:21.470 ⇒ 00:17:22.500 Annie Yu: Yeah, yeah.
140 00:17:22.810 ⇒ 00:17:23.339 Robert Tseng: Yeah.
141 00:17:30.320 ⇒ 00:17:38.419 Annie Yu: Yeah, no, I think that makes sense. And I I think, like having the chance to explore different tools is
142 00:17:38.550 ⇒ 00:17:41.450 Annie Yu: like it could be bad. I mean there, there could be like
143 00:17:42.140 ⇒ 00:17:49.129 Annie Yu: once I consider good versus bad, but I think just like having that exposure
144 00:17:49.360 ⇒ 00:17:53.600 Annie Yu: to like all the different tools is is pretty pretty cool.
145 00:17:54.180 ⇒ 00:18:02.599 Annie Yu: like I didn’t have that chance in my other roles, you know, like, there’s like a set of tools already given to you.
146 00:18:02.700 ⇒ 00:18:03.800 Annie Yu: But yeah.
147 00:18:05.440 ⇒ 00:18:20.923 Robert Tseng: Yeah, I mean, this is really like, yeah, I think you’ll learn about every tool out there, and you’ll it’ll give you the confidence to be like. I can go and deploy any tool like I I think you’ll see some of the common threads. And I mean, obviously, there’s some differences across tools. But
148 00:18:21.320 ⇒ 00:18:31.339 Robert Tseng: yeah, I mean, like I I didn’t use like half these tools like 2 years ago, like I’ve I’ve just been like learning them through my time in in like doing this business as well.
149 00:18:39.140 ⇒ 00:18:44.029 Robert Tseng: Okay, yeah. Any other. Any other questions or things that you wanted to talk about.
150 00:18:49.060 ⇒ 00:18:51.700 Annie Yu: I guess not, for now.
151 00:18:53.900 ⇒ 00:19:04.049 Robert Tseng: Okay, we were talking a bit about like capacity, and you feeling like, you still had more. And I know that you’ve kind of blocked off about like half your time for Eden. Like.
152 00:19:04.450 ⇒ 00:19:15.000 Robert Tseng: if you’re comfortable with staying there like we can just keep that if you want more, like, yeah, we can move faster on some things. I think I’m I’ve just also not pushed too hard on that side.
153 00:19:15.890 ⇒ 00:19:19.030 Annie Yu: Oh, you mean my, my, I guess like workload.
154 00:19:19.030 ⇒ 00:19:19.660 Robert Tseng: Yeah.
155 00:19:20.300 ⇒ 00:19:21.810 Annie Yu: I, I think.
156 00:19:22.800 ⇒ 00:19:41.110 Annie Yu: okay, I think the week like each week, is unpredictable. So sometimes, like starting like in in the middle of a week, I would think, okay, to like this week is actually like lighter. I could take on more. But then on some other weeks, I’ll be like, Okay, no.
157 00:19:41.800 ⇒ 00:19:46.190 Annie Yu: I don’t think so. So that’s I think that’s like one.
158 00:19:46.460 ⇒ 00:19:49.820 Annie Yu: I wouldn’t call it challenge, but just like
159 00:19:50.460 ⇒ 00:19:55.940 Annie Yu: hard, like hard to say, like I I might tell you like, okay, I
160 00:19:56.100 ⇒ 00:20:02.950 Annie Yu: I think I can take on another client project like last week. But then.
161 00:20:03.340 ⇒ 00:20:14.689 Annie Yu: if you’re asking again, I probably would say no this week, but I think I’m still like finding that balance and that yeah, if there’s a way to, I don’t think there’s a we way. But.
162 00:20:17.630 ⇒ 00:20:18.920 Robert Tseng: Yeah, I mean.
163 00:20:19.860 ⇒ 00:20:29.169 Robert Tseng: honestly, they looked my, my, my schedules like that, too. So I don’t. I don’t really think we’re at a place where we can like.
164 00:20:30.710 ⇒ 00:20:42.559 Robert Tseng: I mean the whole dream with like having, like Akash come in, build out the Pm. Function was to go and like, actually do story points, and like, really be able to measure our like velocity of of work.
165 00:20:42.670 ⇒ 00:20:47.700 Robert Tseng: We’re like, set back on that now. So somebody’s really measuring that. So we are kind of just like.
166 00:20:48.120 ⇒ 00:20:51.780 Robert Tseng: kind of vibing it out. And I think it just means that we
167 00:20:52.210 ⇒ 00:20:55.010 Robert Tseng: they communicate every week and make adjustments.
168 00:20:56.700 ⇒ 00:21:03.929 Robert Tseng: yeah, I feel like, no, that’s that’s just that’s just where we’re at for now. I I mean, my, my gut feeling is that
169 00:21:04.070 ⇒ 00:21:10.279 Robert Tseng: we need. Yeah, we have more capacity like. That’s why we’re we’ve been. We’ve been pushing so hard on the sales side and
170 00:21:10.340 ⇒ 00:21:16.550 Robert Tseng: bring in 2 clients in the next 2 weeks, and then, like, I don’t know if these pan partnerships pan out like
171 00:21:16.570 ⇒ 00:21:31.200 Robert Tseng: I mean, I I’m like the number one problem that I’m trying to solve is just to make sure that we have more work, more work than we know what to do with. And then we can figure out how to optimize. So I think that’s that’s that’s kind of how it is, for now, like
172 00:21:31.200 ⇒ 00:21:52.653 Robert Tseng: I, I all I can do is ask you kind of regularly if you want more or less like we can kind of dial it up or down. But hopefully, there’s like some consistency that, like, you know, you know, roughly, half your time is going here like whatever like. I think that’s really kind of on on you to kind of decide like what that looks like.
173 00:21:52.960 ⇒ 00:21:53.570 Annie Yu: Yeah.
174 00:21:53.570 ⇒ 00:21:56.579 Robert Tseng: Letting, like us kind of figure that out for you.
175 00:21:56.960 ⇒ 00:22:02.400 Annie Yu: Yeah, yeah, okay, no, that’s fair. Yeah, I think I I
176 00:22:04.080 ⇒ 00:22:16.200 Annie Yu: I I guess I just wanna say, if there’s a need, I? I’m I’m willing to like jump in. But it’s not like I’m actively seeking more projects. Does that make sense.
177 00:22:16.470 ⇒ 00:22:24.589 Robert Tseng: Yeah, yeah, I mean, I’m also wary of like, I don’t want you context switching so many times like I, I think my hunch is like, I think
178 00:22:25.210 ⇒ 00:22:30.272 Robert Tseng: 3 3 projects is is A is someone’s Max.
179 00:22:31.355 ⇒ 00:22:32.010 Annie Yu: Oh!
180 00:22:32.860 ⇒ 00:22:35.490 Robert Tseng: Yeah, what did you? What were you? Gonna say?
181 00:22:35.490 ⇒ 00:22:41.909 Annie Yu: No, no, no, yeah. I I also shared this with the Emperor. I think for me it’s
182 00:22:42.040 ⇒ 00:22:49.140 Annie Yu: like the overall project, count. Is not that important as long as, like.
183 00:22:50.220 ⇒ 00:22:58.950 Annie Yu: Everyone knows that I can only work on, maybe like 2 to 3 project Max a day.
184 00:22:59.230 ⇒ 00:23:06.649 Annie Yu: But I, you know, like, I think that, like overall Project count doesn’t matter that much for me. But it’s the
185 00:23:06.860 ⇒ 00:23:10.699 Annie Yu: so yeah, I guess for me, the context switching part is
186 00:23:11.920 ⇒ 00:23:16.769 Annie Yu: as long as we can make sure in one day. I only have to work on these
187 00:23:17.060 ⇒ 00:23:20.049 Annie Yu: projects. Then I’m good.
188 00:23:22.910 ⇒ 00:23:23.650 Robert Tseng: I see.
189 00:23:28.790 ⇒ 00:23:32.820 Robert Tseng: Yeah, I mean, I think, hmm.
190 00:23:36.100 ⇒ 00:23:40.689 Robert Tseng: Well, I don’t think we have a luxury of saying like, Oh, yeah, Annie, why don’t you tell us like.
191 00:23:41.094 ⇒ 00:23:47.069 Annie Yu: Monday, Friday. You only want to work on these 2 clients. Tuesday, Thursday. You want to work on those 2 clients.
192 00:23:47.446 ⇒ 00:23:53.339 Robert Tseng: But I mean, I think that makes sense like I I kind of block off my my time that way as well. So
193 00:23:54.740 ⇒ 00:24:11.279 Robert Tseng: Yeah, I mean, I think that’s why I try not to give you anything same day. I always give you 2 days the time so like, at least like you can react to things, and and you’ll be able to to chunk it up that way. That. That’s how I hedge against like having you to do too many
194 00:24:11.410 ⇒ 00:24:13.660 Robert Tseng: different context switching in one day.
195 00:24:14.063 ⇒ 00:24:18.169 Robert Tseng: But yeah, I know it’s mentally exhausting. Like I I think I I like.
196 00:24:18.890 ⇒ 00:24:28.176 Robert Tseng: I felt very tired, like yesterday was probably like my when my energy like tanked, because, like, I felt like I was switching around too much.
197 00:24:29.060 ⇒ 00:24:38.850 Robert Tseng: But yeah, I mean, I don’t know you. You can. Yeah, yeah, I mean, do you? Do you feel like the 2 day lead time? Thing is fair. Do you feel like we’ve been honoring that like. Does that work for you?
198 00:24:39.010 ⇒ 00:24:41.269 Annie Yu: I think I think at least
199 00:24:41.781 ⇒ 00:24:51.389 Annie Yu: so far. I think I’m on the pretty good rhythm with all the like projects and workloads, so I I would say, Yeah, I I feel okay with it.
200 00:24:51.890 ⇒ 00:24:52.530 Robert Tseng: Okay.
201 00:24:53.800 ⇒ 00:24:56.899 Robert Tseng: Okay, yeah. I mean, this is kind of just like as
202 00:24:57.270 ⇒ 00:25:03.330 Robert Tseng: well. If things come up like, let us know we don’t wanna wait until, like you’re about to crash and burn like I’d rather
203 00:25:03.870 ⇒ 00:25:12.599 Robert Tseng: I’d rather you tell tell me like, Hey, something is already kind of trending in the wrong direction, like just a heads up like. Maybe we should make some adjustment.
204 00:25:13.000 ⇒ 00:25:18.340 Annie Yu: I will be. I will be vocal if that happens, but so far I think
205 00:25:18.940 ⇒ 00:25:25.550 Annie Yu: pretty pretty. I I wouldn’t say pretty easy, but, like, manage everything’s manageable so far. Yeah.
206 00:25:25.550 ⇒ 00:25:27.020 Robert Tseng: Okay. Good. Good.
207 00:25:27.220 ⇒ 00:25:27.730 Annie Yu: Okay.
208 00:25:27.730 ⇒ 00:25:28.290 Robert Tseng: Yeah.
209 00:25:29.500 ⇒ 00:25:35.039 Robert Tseng: alright. Well, yeah, I mean, thank you so much. I think you, I think you’re doing a great job. As usual. And
210 00:25:35.520 ⇒ 00:25:41.110 Robert Tseng: yeah, I mean, like any. I I think I’m hopefully. You see that we’re taking steps to kind of keep
211 00:25:41.520 ⇒ 00:25:45.401 Robert Tseng: pushing for the things that you’re asking for as well.
212 00:25:45.790 ⇒ 00:25:46.360 Annie Yu: Yep.
213 00:25:46.600 ⇒ 00:25:47.200 Robert Tseng: Yeah.
214 00:25:48.690 ⇒ 00:25:52.399 Annie Yu: Yep, yeah, thank you so much.
215 00:25:52.660 ⇒ 00:25:53.980 Robert Tseng: Cool. Thanks. Annie.
216 00:25:54.370 ⇒ 00:25:56.580 Annie Yu: Hey? Have a great weekend, Robert.
217 00:25:56.580 ⇒ 00:25:57.870 Robert Tseng: You, too. Bye-bye.
218 00:25:57.870 ⇒ 00:25:58.280 Annie Yu: Hi.